Section Design Library

The bands real pages are built from

6,236 sections captured and categorized, from 2,335 funnels x-rayed.

Section

Showing 24 of 6236 sections

blitzreels.com — a real Comparison section
blitzreels.com · Comparison
nflowapp.com — a real FAQ section
nflowapp.com · FAQ
geni3.org — a real Logo Wall section
geni3.org · Logo Wall
ai3dworld.org — a real Logo Wall section
ai3dworld.org · Logo Wall
creatify.ai — a real CTA section
creatify.ai · CTA
igly.ai — a real FAQ section
igly.ai · FAQ
antwork.io — a real CTA section
antwork.io · CTA
shopeasy.ai — a real Comparison section
shopeasy.ai · Comparison
truintel.ai — a real Pricing section
truintel.ai · Pricing
gifq.com — a real FAQ section
gifq.com · FAQ
nutrafol.com — a real Features section
nutrafol.com · Features
cureva.app — a real Hero section
cureva.app · Hero
granite.so — a real FAQ section
granite.so · FAQ
chatflow.co — a real FAQ section
chatflow.co · FAQ
photovideos.net — a real Comparison section
photovideos.net · Comparison
fitsuite.co — a real CTA section
fitsuite.co · CTA
coprep.ai — a real Pricing section
coprep.ai · Pricing
meev.ai — a real Hero section
meev.ai · Hero
anakin.io — a real Hero section
anakin.io · Hero
amabrik.com — a real Pricing section
amabrik.com · Pricing
trackrev.io — a real Comparison section
trackrev.io · Comparison
updf.com — a real Pricing section
updf.com · Pricing
postqued.com — a real Comparison section
postqued.com · Comparison
sourcetable.com — a real CTA section
sourcetable.com · CTA
2335 funnels x-rayed3519 pages measured10 section types

X-ray your own funnel · free, no signup required

Method: every crawled page is segmented into full-width bands and each band classified into a section archetype by deterministic DOM signals: no LLM, no opinion. Prevalence counts each archetype once per page, across pages crawled all the way to the footer (partial crawls are held back, not guessed). "Typically sits" = the average of the section's position within the page body (0 = top, 1 = bottom). Scoped to the pages we've crawled, not "the web"; auto-updating as the corpus grows.